Instructions to use sanaka87/Show-o-RecA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sanaka87/Show-o-RecA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sanaka87/Show-o-RecA", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7370247614114977ac3cc2501bca2f17ab95dec08fff456b8e93bda54185e307
- Size of remote file:
- 5.82 GB
- SHA256:
- f66d1cfac805829a657eb859f334596f8176e1ad81f473a48219ff6fe3945ecd
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